similar to: plot(bclust) what is the 2nd plot?

Hello everybody, I have a problem with the commando of boxplot -bclust. http://127.0.0.1:13155/library/e1071/html/boxplot.bclust.html > data(iris) > bc1 <- bclust(iris[,1:4], 3, base.centers=5) Committee Member: 1(1) 2(1) 3(1) 4(1) 5(1) 6(1) 7(1) 8(1) 9(1) 10(1) Computing Hierarchical Clustering > boxplot(bc1) Warnmeldungen: 1: In if (x$datamean) { : Bedingung hat Länge > 1 und

Dear all, I have a problem with the function "bagged clustering" of package e1071. When I try to run the example of bagged clustering with the iris data : data(iris) bc1 <- bclust(iris[,1:4], 3, base.centers=5) I got the following message error : Loading required package: class Committee Member: 1(1) 2(1) 3(1) 4(1) 5(1) 6(1) 7(1) 8(1) 9(1) 10(1)Error in bclust(iris[, 1:4], 3,

Hi All, Could you please help with the error I get from the following codes? > Library(cluster) > data(iris) > bc1 <- bclust(iris[,2:5], 3, base.method="clara", base.centers=5) Then I got: "Committee Member: 1(1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20) Error in bclust(iris[, 2:5], 3, base.method = "clara",

Dear All: I'm a newbie to R and chemometrics. Now I'm trying apply bclust on fuzzy c-means like this: >bc1 <- bclust(iris[,1:4], 3, base.centers=20,iter.base=100, base.method="cmeans") Committee Member: 1(1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)Erro r in bclust(iris[, 1:4], 3, base.centers = 20, iter.base = 100, base.method =

Hi All, Just want to make sure, in function "bclust", do the following argument only have one option? argument "dist.method" has one option "Euclidian"; argument "hclust.method" has one option "average"; argument "base.method" has one option "kmeans". Thank you! [[alternative HTML version deleted]]

Hi, I have a very large dataset of 3008 individuals and 800 numerical variables. In fact it is a table of 3008 36-monthes multivariated time series that I would like to classify with an unsupervised algorithm I had a look at the function kkmeans of e1071 package, which seems to be a kernel weighted version of the algorithm algorithm, and the bclust from the same package which does bootstrapping

Dear list, I am facing a problem in my statistical analyses on R. My experiments are about plants, I record there growth after each cutting (every 3 weeks). 'BC' is for the plant, and '1' to '5' is the time of cutting and recording. The data and R script are : "" BourdCoup <- c(21, 7.2, 9.2, 0, 8.52, 14.7, 8.31, 6.2, 127.05, 115.2, 100.7, 24, 162.64, 136.8,

Dear R users I use Windows XP, R2.5.1 (I have read the posting guide, I have contacted the package maintainer first, it is not homework). In a research project on renal cell carcinoma we want to compute Harrell's c index, with optimism correction, for a multivariate Cox regression and also for some univariate Cox models. For some of these univariate models I have encountered an error

i'm having this problem: https://bugzilla.samba.org/show_bug.cgi?id=2220 But. i'm running samba 3.0.24 not 3.0.11 as in bug page. take a look: # smbd -b Build environment: Built by: brewbuilder@hs20-bc1-7.build.redhat.com Built on: Wed Feb 7 23:52:44 EST 2007 Built using: gcc Build host: Linux hs20-bc1-7.build.redhat.com 2.6.9-34.ELsmp #1 SMP Fri Feb 24 16:56:28 EST

Hi All, I run function "kmeans" to cluster a matrix. But when the matrix size is big enough, it keeps saying "did not converge in 10 iterations". Could you explain what it means and if the result is wrong? And the interesting thing is sometimes this warning happens when the sample size is around 51200 x 6, sometimes it happens around 30000 x 6. Does the warning related

Dear List, I am having trouble with a tricky merging task. I have one data sheet that has dates (continuous) that radio collared individuals were monitored via telemetry. I have a different sheet containing data from instances where individuals were recaptured and associated body condition data was recorded (sheet 2). I would like to merge the two sheets by individual and date (I can do this

Hi All, For the function "bclust"(e1071), the argument "base.method" is explained as "must be the name of a partitioning cluster function returning a list with the same components as the return value of 'kmeans'. In my understanding, there are three partitioning cluster functions in R, which are "clara, pam, fanny". Then I check each of them to

We run a third party application that creates an inordinate amount of subdirectories in a single directory. To speed up I/O, I wanted to set the T attribute on the directory that will hold the subdirectories. The "chattr +T /usr/local/lepus-bb/a-0607" command returns status 0, but when I verify the setting, the attribute isn't there: # lsattr -d /usr/local/lepus-bb/a-0607

Dear all, I'm interested in extracting the score from multinomial logistic regression models fit using multinom, to assess the stregth of assocation of the parameter with the response (akin to the score from clogit/cox regression). currently I'm using R 1.8.1. Is there a function that will extract the score from a multinom object or how i can get back to it? or from using glm? I

Hi there, I notice that some of the clustering methods in R are not appropriate to deal with large data set. Here is the list I make to see which are appropriate or which are not appropriate for large dataset. Could you please take a look and check if it is right or not? I need this information to decide which methods I should choose. Thank you! P.S.: List: Appropriate for large

A new version of e1071 has been released to CRAN which should be much easier to install on a lot of platforms because reading/writing PNM images has been moved to the pixmap package, hence there are no longer dependencies on external libraries and no configure mechanism. For the authors, Fritz Leisch ********************************************************** Changes in Version 1.2-0: o

Hi, I am out of town and will get back to you on the 13th of July. Leo >>> "r-help at stat.math.ethz.ch" 06/27/03 00:32 >>> Send R-help mailing list submissions to r-help at stat.math.ethz.ch To subscribe or unsubscribe via the World Wide Web, visit https://www.stat.math.ethz.ch/mailman/listinfo/r-help or, via email, send a message with subject or body

Dear all, I am running a simulation study to test variable imputation methods for Cox models using R 2.9.0 and Windows XP. The code I have written (which is rather long) works (if I set nsim = 9) with the following starting values. >bootrs(nsim=9,lendevdat=1500,lenvaldat=855,ac1=-0.19122,bc1=-0.18355,cc1=-0.51982,cc2=-0.49628,eprop1=0.98,eprop2=0.28,lda=0.003) I need to run the code 1400

Hi Again, Thanks very much for your response. It seems my example got rearranged (transposed?) after I posted it. Hopefully this example will be more clear. I have one file (ex. sheet 1) that will have a column for individuals (ind) and a column for the date (date). I would like to merge this with another file (ex. sheet 2) that has both the 'ind' and date column as well as associated

more /etc/xen/scalix2 kernel="/boot/vmlinuz-2.6.18-8.1.6.el5xen" memory = 512 name = "hating-xen" vif = [''ip = "10.0.1.150", bridge=xenbr0''] disk = [ ''/dev/XEN/scalixroot,sda1,w'', ''/dev/XEN/scalixvar,sda3,w'', ''/dev/XEN/scalixswap,sda2,w'' ] It